While they developed the most accurate scene recognition system, Profs. Antonio Torralba and Aude Oliva have shown how object recognition along with scene recognition could be mutually reinforcing. They will present their work at the International Conference on Learning Representations... Read more.

Is it still an either-or choice to receive (or not) all those mailing list emails? EECS graduate student Amy Zhang working with EECS Prof. David Karger in the Computer Science and Artificial Intelligence Lab's Haystack Group, has developed a new system that uses techniques from social media to give the recipient more control over his/her inbox. Read more.

Reported today by the Association for Computing Machinery (ACM), Matei Zaharia, Assistant Professor in the Department of Electrical Engineering and Computer Science and member of the Computer Science and Artificial Intelligence Lab (CSAIL) is the recipient of the 2014 ACM Doctoral Dissertation Award for his innovative solutions to tackling the surge in data processing workloads. Read more.

Srini Devadas, the Edwin Sibley Webster Professor in MIT's Electrical Engineering and Computer Science Department and members of his group, the Computation Structures Group, have designed a process for thwarting memory-access attacks to steal data. Their scheme includes custom-built reconfigurable chips, now moving into fabrication.

Read about how Jeremy Stribling MS ’05 PhD ’09, Dan Aguayo ’01 MEng ’02 and Max Krohn PhD ’08 revealed holes in the world of scientific publications and conferences ten years ago, and how their work then still lives on.

Munther Dahleh, the William A. Coolidge Professor in the Department of Electrical Engineering and Computer Science, will head a new Institute for Data, Systems, and Society (IDSS) to be launched on July 1. Offering a range of cross-disciplinary academic programs, including a new undergraduate minor in statistics, IDSS will be home to faculty from the Engineering Systems Division (ESD), the Laboratory for Information and Decision Systems(LIDS), and the current Sociotechnical Systems Research Center (SSRC). Read more.

Students and graduates of Prof. Rob Miller's group, the User Interface Design Group have designed a system for visualizing and exploring thousands of solutions to a programming problem, ultimately enhancing online teaching and learning. Members of the group including first author and EECS graduate student Elena Glassman will present their work in April at the Association for Computing Machinery's Conference on Human Factors in Computing Systems. Read more.

Michael Stonebraker, a researcher at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) who has revolutionized the field of database management systems (DBMSs) and founded multiple successful database companies, has won the Association for Computing Machinery’s (ACM) A.M. Turing Award, often referred to as “the Nobel Prize of computing.” Read more.

Former and current EECS graduate students have created new methods to automate identification of potential areas for development in rural villages in both India and sub-Saharan Africa. The group won a $10,000 prize last year from the MIT IDEAS Global Challenge. Read more.

MIT announced a major thrust toward addressing cybersecurity with the launch of three new initiatives including one focused on technology research to be based in the Computer Science and Artificial Intelligence Lab (CSAIL). Read more.

This week, at the Institute of Electrical and Electronics Engineers’ (IEEE's) International Solid-State Circuits Conference (ISSCC), the group of Anantha Chandrakasan, EECS Department Head and the Joseph F. and Nancy P. Keithley Professor in Electrical Engineering at MIT, will present a new transmitter design that reduces power leakage when transmitters are idle — greatly extending battery life and ultimately enabling the potential for the transmission of data needed for the "Internet of things". Read more.

Our susceptibility to disease depends both on the genes that we inherit from our parents and on our lifetime experiences. These two components — nature and nurture — seem to affect very different processes in the context of Alzheimer's disease, according to a new study published today in the journal Nature. Read more.

In the quest for improving the speed and efficiency of multicore chips, EECS Assistant Professor Daniel Sanchez and graduate student Nathan Beckmann designed a system that moves data around multicore chips' memory banks — improving execution by 18 percent on average while increasing energy efficiency as well. They won an award for this work in 2013. Now.. Read more.

Five members of the Electrical Engineering and Computer Science Department of a total of eight MIT faculty have been elected to the National Academy of Engineering including Hari Balakrishnan, Sangeeta Bhatia, Anantha Chandrakasan, L. Rafael Reif and Daniela Rus. Read more.

A record number of Fellow selections from any single institution marks the election by the Association of Computing Machinery (ACM) of five CSAIL researchers and members of the MIT Electrical Engineering and Computer Science Department to ACM 2014 Fellow. The ACM has cited Srini Devadas, Eric Grimson, Robert Morris, Ronitt Rubinfeld and Daniela Rus for "providing key knowledge" to computing.

Professor Muriel Medard working with EECS graduate student Flavio du Pin Calmon and researchers from Maynooth University in Ireland have shown that since existing practical cryptographic schemes demonstrate elements of information-theoretic security thereby preventing extraction of some of their data — it is possible to calculate minimum-security guarantees for any given encryption scheme — enabling information managers to make more informed decisions about how to protect data. Read more.

Getting to the source of data-visualization aberrations is a big problem in big data. EECS doctoral student Eugene Wu with Sam Madden, professor of computer science and engineering in the Computer Science and Artificial Intelligence Lab (CSAIL) have released a new tool, called DBWipes, that pinpoints aberrations and determines which data sources to investigate. Read more.

Paying attention to the data that says MOOC learning is limited because of high drop rates and other negatives, CSAIL researchers have noted that students need help learning how to watch the videos and these researchers have developed a new way for students to learn how to watch MOOC videos called LectureScape. Read more.

EECS faculty members Hari Balakrishnan and Devavrat Shah with EECS graduate students Jonathan Perry, and Amy Ousterhout, and Hans Fugal of Facebook have devised a new system to reduce delay time in data center queues. Using Fastpass, the name given to the new system, the group has experimentally reduced the average queue length of routers by as much as 99.6 percent in a Facebook data center. Read more.

Bernard Haeupler, PhD '13, has been selected by the Association of Computing Machinery (ACM) as recipient of the 2014 Doctoral Dissertation Award in Distributed Computing. Dr. Haeupler completed his thesis “Probabilistic Methods for Distributed Information Dissemination” in June 2013 under the co-supervision of Professors Jonathan Kelner, Muriel Médard, and David Karger at MIT.

As the director of MIT’s BigData@CSAIL industry initiative, and the co-director of the more research-focused Intel Science and Technology Center (ISTC) for Big Data, EECS professor and CSAIL principal investigator Sam Madden talks with the MIT News Office about the growing complexity of data. From social networks and images to real time financial transactions, Madden talks about the issues (and opportunities) of what to do with this data. Read more.

Today, March 12, 2014, marks the 25th anniversary of Tim Berners-Lee's proposal for managing general information about accelerators and experiments at CERN, the European Organization for Nuclear Research based in Geneva where Berners-Lee worked at the time as a software engineer. He proposed building a distributed (global) hypertext system which he initially called "Mesh" updating it a year later to the "World Wide Web" as he wrote the code. Read more.

Computer Science and Artificial Intelligence Laboratory's (CSAIL) Aude Oliva, associate professor of cognitive science at MIT's Brain and Cognitive Sciences working with her CSAIL colleagues including Antonio Torralba, associate professor in MIT's Electrical Engineering and Computer Science Department and also a member of in the MIT Computer Vision Group has developed an algorithm to slightly modify a person's face — making it more memorable without altering that person's overall appearance.

Professor Piotr Indyk and members of his group in the Computer Science and Artificial Intelligence Lab (CSAIL) have developed an algorithm that betters his (and Prof. Dina Katabi's) work to develop a faster than fast Fourier Transform in 2012. The new algorithm that uses the minimum possible number of samples to analyze signals has the potential to allow advances in medical devices such as magnetic resonance imaging (MRI) and nuclear magnetic resonance (NMR) machines to scan patients.

Using artificial intelligence tools including probabilistic graphical models, Ying Liu, EECS graduate student working with Alan Willsky, EECS professor and director of the Laboratory for Information and Decisions Systems (LIDS) has developed a technique that can efficiently infer vital information about the propagation of flight delays at U.S. airports. Liu and Willsky will present their work, which has potential application to a wide range of areas, at the Neural Information Processing Systems Foundation in early December. Read more.